1921 search results - page 288 / 385 » Learning from sensor network data |
159
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
111
Voted
PPL
2008
15 years 2 months ago
2008
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
111
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
126
Voted
PROCEDIA
2010
15 years 1 months ago
2010
The dynamic and collaborative nature of mobile and sensor networks raises the issue of how connected mobile devices can be trusted. Despite the existing security paradigms such as...
119
Voted
CVPR
2000
IEEE
16 years 4 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...